Read the top five news stories in artificial intelligence and learn how innovations in AI are transforming business across industries like healthcare and finance and how your business can derive tangible benefits by implementing AI the right way.
This Week in Data Science - Top 5 News - April 26, 2019NVIDIA
What's new in data science? Flip through this week's Top 5 to read a report on the most coveted skills for data scientists, top universities building AI labs, data science workstations for AI deployment, and more.
Top 5 Deep Learning and AI Stories April 7th NVIDIA
Learn the state of AI technology, Wall Street predictions for AI investments, and how deep learning is quickly advancing medicine in this week's top 5.
Top 5 AI and Deep Learning Stories - August 3, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: transforming a generation of AI developers, an AI data platform for enterprises, how smart machines are changing medicine, improving passenger safety with deep learning, and self-taught AI learns to solve a Rubik's Cube.
NVIDIA Testimony at Senate Commerce, Science, and Transportation Committee He...NVIDIA
Rob Csongor, VP and General Manager of NVIDIA's automotive business, provides his testimony on the important subject of self-driving vehicle technology.
Inception Awards: The Top Six AI Startups Changing The WorldNVIDIA
Discover how these winning AI startups are impacting the world through accurate biomagnetic imaging, cybersecurity enhancement, construction safety, and more.
Top 5 Deep Learning and AI Stories - April 20, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: the 5 AI basics every business executive should know, Canon Medical Systems partners with NVIDIA to advance AI in healthcare, auditors use AI to detect accounting fraud, AI system reduces risk in M&A, and researchers develop an AI system that can process sound as well as humans.
This Week in Data Science - Top 5 News - April 26, 2019NVIDIA
What's new in data science? Flip through this week's Top 5 to read a report on the most coveted skills for data scientists, top universities building AI labs, data science workstations for AI deployment, and more.
Top 5 Deep Learning and AI Stories April 7th NVIDIA
Learn the state of AI technology, Wall Street predictions for AI investments, and how deep learning is quickly advancing medicine in this week's top 5.
Top 5 AI and Deep Learning Stories - August 3, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: transforming a generation of AI developers, an AI data platform for enterprises, how smart machines are changing medicine, improving passenger safety with deep learning, and self-taught AI learns to solve a Rubik's Cube.
NVIDIA Testimony at Senate Commerce, Science, and Transportation Committee He...NVIDIA
Rob Csongor, VP and General Manager of NVIDIA's automotive business, provides his testimony on the important subject of self-driving vehicle technology.
Inception Awards: The Top Six AI Startups Changing The WorldNVIDIA
Discover how these winning AI startups are impacting the world through accurate biomagnetic imaging, cybersecurity enhancement, construction safety, and more.
Top 5 Deep Learning and AI Stories - April 20, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: the 5 AI basics every business executive should know, Canon Medical Systems partners with NVIDIA to advance AI in healthcare, auditors use AI to detect accounting fraud, AI system reduces risk in M&A, and researchers develop an AI system that can process sound as well as humans.
Building an AI Startup: Realities & TacticsMatt Turck
AI is all the rage in tech circles, and the press is awash in tales of AI entrepreneurs striking it rich after being acquired by one of the giants. As always, the realities of building a startup are different, and the path to success requires not just technical prowess but also thoughtful market positioning and business excellence.
In a talk of interest to anyone building or implementing an AI product, Matt Turck and Peter Brodsky leverage hundreds of conversations with AI (and big data) founders and hard-learned lessons building companies from the ground up to highlight successful strategies and tactics.
Topics include:
Successful data acquisition strategies
Data network effects
Competing with the giants
A pragmatic approach to building an AI team
Why social engineering is just as important to success as groundbreaking AI technology
Know how GPUs have become the de-facto standard for AI workloads for infrastructure transformation. Also, understand the importance of Machine Learning and Deep learning in this fast pacing tech-world.
14 Startups Leading the Artificial Intelligence (AI) RevolutionNVIDIA
Learn how these top 14 startups around the globe are using artificial intelligence (AI) and Deep Learning to impact key industries and humanity-at-large.
TDWI 17 Munich - Are enterprises ready for the 4th industrial revolution? - S...Santiago Cabrera-Naranjo
To get ready, companies will require cross-functional teams with the right software and discipline to enable data scientists, engineers, product managers, and domain experts to all work together to create a continuous cycle that drives value to the business.
The Power of Artificial Intelligence Technology in Modern BusinessPriyadarshiniPD3
Artificial Intelligence revolutionizes modern business by enhancing efficiency, automating tasks, providing data-driven insights, and personalizing customer experiences, leading to significant competitive advantages.
Artificial intelligence is part of almost every business today; it facilitates business operations, increases productivity, and offers a variety of ways to speed up communication processes. Artificial intelligence and software (or software applications installed on it), as well as automation through AI systems, perform many of the tasks previously performed by employees and workers. Switching to an automated working environment has resulted in a lot of unnecessary business expenses, substantial time savings and a gradual increase in profits. The automation through AI of various business processes has taken many companies and organizations to the next level in terms of production and management.So, this article explains the role of artificial intelligence, machine learning and cloud computing in business. by Dr. Pawan Whig 2019. Artificial Intelligence and Machine Learning In Business. International Journal on Integrated Education. 2, 2 (Jun. 2019). https://journals.researchparks.org/index.php/IJIE/article/view/516/493 https://journals.researchparks.org/index.php/IJIE/article/view/516
A forecast by Gartner in 2021 stated that artificial intelligence will help increase
customer satisfaction in organizations by 25 per cent by 2023. Artificial Intelligence (AI)
as we know; was first studied in 1956. But significant progress towards developing an AI
system and turning it into a technological reality needed decades of work.
Large-scale information that can be learned from and handled by AI technology can
successfully improve and revolutionise operations in various industries. AI technology
can anticipate needs and make deft, pertinent decisions after learning and
comprehension. AI makes decisions after analysing data, unlike business intelligence
technology, which analyses data and leaves the decision-making to humans
Turning AI into Concrete Value: The Successful Implementers' ToolkitCapgemini
A Capgemini study of nearly 1,000 organizations implementing Artificial Intelligence highlights the growth opportunity of AI and counters fears that AI will cause massive job losses in the short term.
Turning AI into concrete value: the successful implementers’ toolkitBen Gilchriest
This research is a pragmatic guide to help organizations in their AI investment decisions, built from an analysis of over 50 AI case studies and a survey of nearly 1,000 senior executives already implementing AI.
In today's tech-centric world, choosing the right AI development partner is crucial. Companies like DataRoot Labs, AssemblyAI, and Element AI highlight the enduring importance of AI-industry collaboration, driving innovation in sectors from healthcare to environmental sustainability. AI is no longer optional; it's essential for forward-thinking organizations. In 2023, these companies and trends provide a roadmap for those aiming to lead in the AI frontier.
Building an AI Startup: Realities & TacticsMatt Turck
AI is all the rage in tech circles, and the press is awash in tales of AI entrepreneurs striking it rich after being acquired by one of the giants. As always, the realities of building a startup are different, and the path to success requires not just technical prowess but also thoughtful market positioning and business excellence.
In a talk of interest to anyone building or implementing an AI product, Matt Turck and Peter Brodsky leverage hundreds of conversations with AI (and big data) founders and hard-learned lessons building companies from the ground up to highlight successful strategies and tactics.
Topics include:
Successful data acquisition strategies
Data network effects
Competing with the giants
A pragmatic approach to building an AI team
Why social engineering is just as important to success as groundbreaking AI technology
Know how GPUs have become the de-facto standard for AI workloads for infrastructure transformation. Also, understand the importance of Machine Learning and Deep learning in this fast pacing tech-world.
14 Startups Leading the Artificial Intelligence (AI) RevolutionNVIDIA
Learn how these top 14 startups around the globe are using artificial intelligence (AI) and Deep Learning to impact key industries and humanity-at-large.
TDWI 17 Munich - Are enterprises ready for the 4th industrial revolution? - S...Santiago Cabrera-Naranjo
To get ready, companies will require cross-functional teams with the right software and discipline to enable data scientists, engineers, product managers, and domain experts to all work together to create a continuous cycle that drives value to the business.
The Power of Artificial Intelligence Technology in Modern BusinessPriyadarshiniPD3
Artificial Intelligence revolutionizes modern business by enhancing efficiency, automating tasks, providing data-driven insights, and personalizing customer experiences, leading to significant competitive advantages.
Artificial intelligence is part of almost every business today; it facilitates business operations, increases productivity, and offers a variety of ways to speed up communication processes. Artificial intelligence and software (or software applications installed on it), as well as automation through AI systems, perform many of the tasks previously performed by employees and workers. Switching to an automated working environment has resulted in a lot of unnecessary business expenses, substantial time savings and a gradual increase in profits. The automation through AI of various business processes has taken many companies and organizations to the next level in terms of production and management.So, this article explains the role of artificial intelligence, machine learning and cloud computing in business. by Dr. Pawan Whig 2019. Artificial Intelligence and Machine Learning In Business. International Journal on Integrated Education. 2, 2 (Jun. 2019). https://journals.researchparks.org/index.php/IJIE/article/view/516/493 https://journals.researchparks.org/index.php/IJIE/article/view/516
A forecast by Gartner in 2021 stated that artificial intelligence will help increase
customer satisfaction in organizations by 25 per cent by 2023. Artificial Intelligence (AI)
as we know; was first studied in 1956. But significant progress towards developing an AI
system and turning it into a technological reality needed decades of work.
Large-scale information that can be learned from and handled by AI technology can
successfully improve and revolutionise operations in various industries. AI technology
can anticipate needs and make deft, pertinent decisions after learning and
comprehension. AI makes decisions after analysing data, unlike business intelligence
technology, which analyses data and leaves the decision-making to humans
Turning AI into Concrete Value: The Successful Implementers' ToolkitCapgemini
A Capgemini study of nearly 1,000 organizations implementing Artificial Intelligence highlights the growth opportunity of AI and counters fears that AI will cause massive job losses in the short term.
Turning AI into concrete value: the successful implementers’ toolkitBen Gilchriest
This research is a pragmatic guide to help organizations in their AI investment decisions, built from an analysis of over 50 AI case studies and a survey of nearly 1,000 senior executives already implementing AI.
In today's tech-centric world, choosing the right AI development partner is crucial. Companies like DataRoot Labs, AssemblyAI, and Element AI highlight the enduring importance of AI-industry collaboration, driving innovation in sectors from healthcare to environmental sustainability. AI is no longer optional; it's essential for forward-thinking organizations. In 2023, these companies and trends provide a roadmap for those aiming to lead in the AI frontier.
How Can Businesses Adopt AI Technology to Achieve Their GoalsKavika Roy
https://www.datatobiz.com/blog/businesses-adopt-ai-technology/
Artificial intelligence is a dynamic force that keeps the industry moving forward to conquer more technologies. From manufacturing to hospitality to retail and aerospace, AI is being adopted by several organizations across all industries. The global AI market is worth $327.5 billion in 2021.
However, businesses are still in varying stages of adopting AI in their enterprises. While the top companies have added AI technology as an integral part of their systems, SMEs still use AI to develop pilot projects for certain departments like sales, marketing, etc.
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Goodbuzz Inc.
Driving Tangible Value for Business. Briefing Paper. Interest in AI/ML is soaring, but confusion and hype can mask the real benefits of these technologies. Organizations need to identify use cases that will produce value for them, especially in the areas of enhancing processes, detecting anomalies and enabling predictive analytics.
Incorporating artificial intelligence into your business systems and processes is a journey unlike any other digital technology implementation. Here is a five-step process for navigating it successfully.
Artificial intelligence (AI) has been around for decades. But with the stunning progress of key technologies like cloud computing and data analytics, AI is finally making a transformative impact. Just look at how companies like Google, Facebook and Microsoft have been investing aggressively in this technology. In fact, Google considers itself an AI-first company.
Move the Market with AI: Using Artificial Intelligence In The New Business Pr...Accenture Operations
As the dynamism of markets increases, some businesses have found themselves held back by rigid processes. The migration to more flexible, outcome-driven approaches has helped many
organizations. Some market leaders have moved further ahead by implementing advanced artificial intelligence (AI) technologies to facilitate the transition. More at www.accenture.com/AIBusinessProcess
Richard Bishara - Artificial Intelligence and its impact on BusinessRichard Bishara
Richard Bishara, one of the most widely adopted advancements in technology is Artificial Intelligence (AI) technology. It is the latest tech trend in enterprises.
Smart machines are reinventing how work is done, but there is significant untapped potential in reimagining business processes from the ground up as self-improving procedures that can sense, comprehend, act and learn — all in real time.
Homme+Machine : Réinventer Notre Manière de Travailler | Accentureaccenture
Les entreprises qui améliorent radicalement leurs processus métier et la satisfaction au travail sont celles qui font collaborer l'homme et la machine.
Why AI and Machine Learning Will Be Essential for Your Business SurvivalMaxime Sterling
With the rise of digital transformation, advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML) have become increasingly essential for businesses to succeed and remain competitive. In this article, we will explore how AI and ML can help your business survive in today's ever-evolving marketplace.
AI Readiness: Five Areas Business Must Prepare for Success in Artificial Inte...Kaleido Insights
This research report from technology research firm, Kaleido Insights introduces a framework for organizational preparedness—not only of data and infrastructure, but of people, ethical, strategic and practical considerations needed to deploy effective and sustainable machine and deep learning programs. This research is the first to market to articulate the need for readiness beyond data and data science talent. Based on extensive research and interviews of more than 25 businesses involved in AI deployments, the report identifies and examines five fundamental areas businesses must prepare for sustainable AI. Download the full report: https://www.kaleidoinsights.com/order-reports/artificial-intelligence-ai-readiness/
There’s never been a better time to be an analyst.
While historically analytics was consigned to the metaphorical fireplace in an organisation, to be acknowledged and occasionally fed but largely ignored, today the story is much evolved. The vast amounts of data being produced in ever greater amounts has led
to a renewed interest in making sense of this information treasure trove, and successfully unlocking its secrets can be a tremendous boon to businesses.
But the discipline is not without its challenges. Many organisations have not yet worked out how to store and organise the data they are generating, let alone analyse it. IT infrastructure is evolving, but not always in the right direction, and certainly not always fast enough in Asia.
Similar to Top 5 Deep Learning and AI Stories - August 30, 2019 (20)
We pioneered accelerated computing to tackle challenges no one else can solve. Now, the AI moment has arrived. Discover how our work in AI and the metaverse is profoundly impacting society and transforming the world’s largest industries.
Promising to transform trillion-dollar industries and address the “grand challenges” of our time, NVIDIA founder and CEO Jensen Huang shared a vision of an era where intelligence is created on an industrial scale and woven into real and virtual worlds at GTC 2022.
Our passion is to inspire and enable the da Vincis and Einsteins of our time, so they can see and create the future. We pioneered graphics, accelerated computing, and AI to tackle challenges ordinary computers cannot solve. See how we're continuously inventing the future--from our early days as a chip maker to transformers of the Metaverse.
Outlining a sweeping vision for the “age of AI,” NVIDIA CEO Jensen Huang Monday kicked off the GPU Technology Conference.
Huang made major announcements in data centers, edge AI, collaboration tools and healthcare in a talk simultaneously released in nine episodes, each under 10 minutes.
“AI requires a whole reinvention of computing – full-stack rethinking – from chips, to systems, algorithms, tools, the ecosystem,” Huang said, standing in front of the stove of his Silicon Valley home.
Behind a series of announcements touching on everything from healthcare to robotics to videoconferencing, Huang’s underlying story was simple: AI is changing everything, which has put NVIDIA at the intersection of changes that touch every facet of modern life.
More and more of those changes can be seen, first, in Huang’s kitchen, with its playful bouquet of colorful spatulas, that has served as the increasingly familiar backdrop for announcements throughout the COVID-19 pandemic.
“NVIDIA is a full stack computing company – we love working on extremely hard computing problems that have great impact on the world – this is right in our wheelhouse,” Huang said. “We are all-in, to advance and democratize this new form of computing – for the age of AI.”
This GTC is one of the biggest yet. It features more than 1,000 sessions—400 more than the last GTC—in 40 topic areas. And it’s the first to run across the world’s time zones, with sessions in English, Chinese, Korean, Japanese, and Hebrew.
The Best of AI and HPC in Healthcare and Life SciencesNVIDIA
Trends. Success stories. Training. Networking.
The GPU Technology Conference brings this all to one place. Meet the people pioneering the future of healthcare and life sciences and learn how to apply the latest AI and HPC tools to your research.
NVIDIA CEO Jensen Huang Presentation at Supercomputing 2019NVIDIA
Broadening support for GPU-accelerated supercomputing to a fast-growing new platform, NVIDIA founder and CEO Jensen Huang introduced a reference design for building GPU-accelerated Arm servers, with wide industry backing.
NVIDIA BioBert, an optimized version of BioBert was created specifically for biomedical and clinical domains, providing this community easy access to state-of-the-art NLP models.
Seven Ways to Boost Artificial Intelligence ResearchNVIDIA
Higher education institutions have long been the backbone of scientific breakthroughs, view this slideshare to learn seven easy ways to help elevate your research.
Learn about the benefits of joining the NVIDIA Developer Program and the resources available to you as a registered developer. This slideshare also provides the steps of getting started in the program as well as an overview of the developer engagement platforms at your disposal. developer.nvidia.com/join
If you were unable to attend GTC 2019 or couldn't make it to all of the sessions you had on your list, check out the top four DGX POD sessions from the conference on-demand.
In this special edition of "This week in Data Science," we focus on the top 5 sessions for data scientists from GTC 2019, with links to the free sessions available on demand.
NVIDIA CEO Jensen Huang's keynote address at the GPU Technology Conference 2019 (#GTC19) in Silicon Valley, where he introduced breakthroughs in pro graphics with NVIDIA Omniverse; in data science with NVIDIA-powered Data Science Workstations; in inference and enterprise computing with NVIDIA T4 GPU-powered servers; in autonomous machines with NVIDIA Jetson Nano and the NVIDIA Isaac SDK; in autonomous vehicles with NVIDIA Safety Force Field and DRIVE Constellation; and much more.
Check out these DLI training courses at GTC 2019 designed for developers, data scientists & researchers looking to solve the world’s most challenging problems with accelerated computing.
Transforming Healthcare at GTC Silicon ValleyNVIDIA
The GPU Technology Conference (GTC) brings together the leading minds in AI and healthcare that are driving advances in the industry - from top radiology departments and medical research institutions to the hottest startups from around the world. Can't miss panels and trainings at GTC Silicon Valley
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the upcoming NVIDIA GTC 2019, complete schedule of GPU hackathons and more!
The promise of AI to provide better patient care through accelerated workflows and increased diagnostic capabilities was in full display at RSNA. Catch up with all the news and highlights from the event.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
2. 2
DEEP LEARNING IS THE
FASTEST-GROWING FIELD IN
ARTIFICIAL INTELLIGENCE (AI)
3. 3
TOP 5
1. Producing Business Value from Artificial
Intelligence
2. Artificial Intelligence is Redefining These 5 Major
Industries
3. How to Optimize Storage for AI, Machine Learning,
and Deep Learning
4. Why the Right Decisions are Vital on the Artificial
Intelligence Journey
5. Data Annotation: The Billion Dollar Business
Behind AI Breakthroughs
4. 4
PRODUCING BUSINESS VALUE FROM ARTIFICIAL
INTELLIGENCE
As artificial intelligence becomes more common in
business, it’s crucial to understand how to derive
value from the innovation.
“As a new technology, AI has to deliver real and
substantial benefits to the enterprise in order to be
deemed successful. This poses a fundamental question
to organizations: how AI can be incorporated in everyday
operations to not only deliver business benefits, but also
improve customer experience, drive revenues and
reduce costs simultaneously.”
#1
SOURCE: https://www.technative.io/producing-business-value-from-artificial-intelligence/
READ ARTICLE
5. 5
ARTIFICIAL INTELLIGENCE IS REDEFINING THESE 5 MAJOR
INDUSTRIES
The artificial intelligence has begun to transform
industries that affect our lives daily, including
finance and healthcare.
“With all the buzz around cryptocurrency and blockchain
technology, artificial intelligence (AI) has taken a
backseat in some ways. However, this hasn’t stopped
the AI industry from growing at an exponential rate. The
artificial intelligence market is estimated to grow in
value to $191 billion by 2024 with a CAGR of 37
percent.”
#2
SOURCE: https://www.business2community.com/business-intelligence/artificial-intelligence-is-redefining-these-5-major-industries-02232853
READ ARTICLE
6. 6
HOW TO OPTIMIZE STORAGE FOR AI, MACHINE LEARNING,
AND DEEP LEARNING
Without the proper storage solution, AI and deep
learning can cause significant performance issues.
“The resurrection of AI at the hands of machine learning
and deep learning has engendered an explosion of
research and product development as businesses
discover creative ways to use these new algorithms for
process automation and predictive insights. The nature
of machine learning and deep learning models, the latter
of which often emulate the brain's neural structure and
connectivity, requires the acquisition, preparation,
movement and processing of massive data sets.”
#3
SOURCE: https://searchstorage.techtarget.com/feature/How-to-optimize-storage-for-AI-machine-learning-and-deep-learning
READ ARTICLE
7. 7
WHY THE RIGHT DECISIONS ARE VITAL ON THE ARTIFICIAL
INTELLIGENCE JOURNEY
Artificial intelligence can bring plenty of value to
your business but making the right decisions as you
implement are key to unlocking it’s potential.
“When applied to the right business challenges, AI can
demonstrate a great return on investment. Many firms
have already integrated AI and ML within their business
processes, such as automated vehicle checks that enable
staff to tackle other priorities, identifying data
anomalies in transactional businesses and predicting
important component failures.”
#4
SOURCE: https://www.yorkshirepost.co.uk/business/philip-white-why-the-right-decisions-are-vital-on-the-artificial-intelligence-journey-1-9960218
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8. 8
DATA ANNOTATION: THE BILLION DOLLAR BUSINESS
BEHIND AI BREAKTHROUGHS
Labeling data through data annotation is what
makes large data sets usable by artificial
intelligence systems.
“Thirty years ago computer vision systems
could barely recognize hand-written digits. But
now AI-powered machines are used to
empower self-driving vehicles, detect
malignant tumors in pathology slides, and
review legal contracts. Along with advanced
algorithms and powerful compute resources,
fine-grained labeled datasets play a key role in
AI’s renaissance.”
#5
SOURCE: https://syncedreview.com/2019/08/28/data-annotation-the-billion-dollar-business-behind-ai-breakthroughs/
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9. SEE HOW DEEP LEARNING IS
DRIVING INNOVATION
SEE THE RESULTS